Efficient Representation, Learning, and Planning Through Abstraction - Clustering Cognitive Spaces Into Submaps

Efficient Representation, Learning, and Planning Through Abstraction - Clustering Cognitive Spaces Into Submaps

MITCBMM via YouTube Direct link

Intro

1 of 24

1 of 24

Intro

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Efficient Representation, Learning, and Planning Through Abstraction - Clustering Cognitive Spaces Into Submaps

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  1. 1 Intro
  2. 2 Partitioning
  3. 3 Hypothesis
  4. 4 Memory architecture
  5. 5 Memory structure
  6. 6 Memory networks
  7. 7 Fragmented maps
  8. 8 Online fragmentation
  9. 9 Longterm memory
  10. 10 Test drive
  11. 11 Realtime clustering
  12. 12 Experimental data
  13. 13 Neural mechanisms
  14. 14 Submaps
  15. 15 Planning
  16. 16 Neural circuits
  17. 17 Reusing submaps
  18. 18 Motivation
  19. 19 Experiments
  20. 20 Environments
  21. 21 Environment trajectories
  22. 22 Animation
  23. 23 Preliminary results
  24. 24 Conclusion

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